target_size = (320,320)
mean = [0.485,0.456,0.406]
std = [0.229,0.224,0.225]
model_path = r'/home/edgeboard/workspace2/code/output_inference/nb/5000_deng.nb'
threshold = 0.7
#timeout多久不检测就强制清除
timeout = 30
#meantime检测几次去平均值
meantime = 0

recycleableGarbage={
    'cans',# 易拉罐
    'bottle'
}
harmfulGrabage={
    'battery',# 电池
    'medicine',
}
kitchenGarbage={
    'carrot',
    'potato',
    'mooli'
}
anotherGrabage={
    'ceramic',#陶瓷
    'brick',
    'cobblestone'
}

### 模型输出类别
label_map = {
    0:'battery', # 电池
    1:'cans', # 易拉罐
    2:'cobblestone', # 鹅卵石
    3:'medicine', # 药
    4:'bottle', # 塑料瓶子
    5:'ceramic', # 陶瓷
    6:'carrot', # 胡萝卜
    7:'potato', # 土豆
    8:'mooli', # 白萝卜
    9:'brick',# zhuantou

}
color_map = {
    0:(0,0,0),
    1:(192,192,129),
    2:(112,128,105),
    3:(255,235,205),
    4:(178,34,34),
    5:(30,144,255),
    6:(3,168,158),
    7:(160,102,211),
    8:(130,140,200),
    9:(115,400,230),
}
